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Leonie Brummer; Hester de Boer; Jolien M. Mouw; Jan-Willem Strijbos – Learning Environments Research, 2024
Even though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning…
Descriptors: Feedback (Response), Teacher Response, Computer Mediated Communication, Computer Assisted Instruction
2023-24 Guide to Calculating School Grades, District Grades, and the Federal Percent of Points Index
Florida Department of Education, 2024
School grades provide an easily understandable metric to measure the performance of a school. Parents and the general public can use the school grade and its associated components to understand how well each school is serving its students. The purpose of this technical guide is to provide a description of the procedures used to determine school…
Descriptors: School Districts, Grading, Academic Achievement, Student Evaluation
Tamal Krishna Kayal – Sage Research Methods Cases, 2023
Performance in primary education can be measured in terms of different variables, like enrolment rate, attendance rate, or levels of learning achievement of students. Thus, for an analysis of the comparative performance of units, like country, state, or district, we need an aggregate measure or an index developed from these variables. In…
Descriptors: Foreign Countries, Elementary Education, Measurement Techniques, Evaluation Methods
Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
Li, Juan; Li, Zhe; Liu, Shuo-Fang; Cheng, Meng – Interactive Learning Environments, 2020
Traditional methods for conducting performance evaluations of academic courses are somewhat limited in that they are unable to account for both quantitative and qualitative data. For example, the data used to assess student performance in a typical industrial design course are generally complex, multi-criteria, multi-variable, and frequently vague…
Descriptors: Student Evaluation, College Students, Industrial Education, Design
Drexlerová, Anna; Šedová, Klára; Sedlácek, Martin – Journal of Pedagogy, 2019
This paper presents two studies examining the interrelation of grading and teacher judgment. Study 1 revealed the structure of teacher judgment two teachers and their classes, based on data from long-term ethnographic research. Through inductive analysis of teacher statements about students, four criteria by which teachers judge their students…
Descriptors: Grading, Student Evaluation, Evaluation Methods, Evaluation Criteria
Denise R. Caldone – ProQuest LLC, 2021
The purpose of this mixed methods study was to explore the tensions between what secondary teachers think and believe about assessment and the corresponding actions they take in their classrooms. Of particular interest was the development of Teacher Assessment Identity (TAI) and the impact of experience on TAI. Survey data and semi-structured…
Descriptors: Secondary School Teachers, Evaluation Methods, Evaluation Criteria, Culture Fair Tests
Brian Lee Rahaman – ProQuest LLC, 2021
Over the past 40 years, a variety of school improvement initiatives have been designed and implemented in low-performing schools across the country, mostly with disappointing results. One potential explanation for the poor track record is that school leaders have too often designed improvement strategies without taking the time to understand the…
Descriptors: High Schools, Academic Achievement, Urban Schools, Identification
Cheng, Liying; Yan, Wei; Mei, Yi; DeLuca, Christopher – Assessment Matters, 2017
As one of the most high-stakes practices in education, grading has been the subject of significant debate and research over the years. However, it is only recently that researchers have started to explore the teaching and learning values embedded in grades by looking at grading policies. This study examined grading polices in China by focusing on…
Descriptors: Foreign Countries, Grading, Educational Policy, Academic Achievement
Henrie, Curtis R. – ProQuest LLC, 2016
This is a multiple-article format dissertation that explores methods for measuring student engagement in technology-mediated learning experiences. Student engagement is the committed, focused, and energetic involvement of students in learning. Student engagement is correlated with academic performance, student satisfaction, and persistence in…
Descriptors: Learner Engagement, Learning Experience, Academic Achievement, Educational Technology
Gawade, Nandita G.; Meyer, Robert H. – Teachers College Record, 2016
This article uses empirical data to consider the consequences of particular characteristics of instruction and testing in high school for the modeling and estimation of value-added measures of school or teacher effectiveness. Unlike Mathematics and Reading for most elementary and middle school grades, there is a lack of annual testing of students…
Descriptors: Teacher Effectiveness, Value Added Models, High Schools, Academic Achievement
Royal, Kenneth D.; Guskey, Thomas R. – Online Submission, 2014
A common practice in medical education is to create a prescribed distribution of grades, or ratings, so that only a certain percentage of students receive the highest marks. This approach typically is employed to curb grade inflation and as a means to help faculty distinguish outstanding performers. Despite the well-intentioned reasoning for using…
Descriptors: Grades (Scholastic), Grading, Medical Education, Grade Inflation
Pane, John F.; Baird, Matthew – RAND Corporation, 2014
The purpose of this document is to describe the methods RAND used to analyze achievement for 23 personalized learning (PL) schools for the 2012-13 through 2013-14 academic years. This work was performed at the request of the Bill & Melinda Gates Foundation (BMGF), as part of a multi-year evaluation contract. The 23 schools were selected from a…
Descriptors: Individualized Instruction, Outcome Measures, Academic Achievement, Achievement Gains
North Dakota Department of Public Instruction, 2016
The number of students identified under the Individuals With Disabilities Education Act (IDEA) with an emotional disturbance (ED) has remained remarkably stable over the last 30 years. During this time, approximately 1% of the school-aged population has been identified as disabled under the criteria set forth in IDEA (Kim, Forness, & Walker,…
Descriptors: Guidelines, Emotional Disturbances, Students with Disabilities, Individualized Education Programs
Tuttle, Christina Clark; Gleason, Philip; Clark, Melissa – Economics of Education Review, 2012
This paper draws on data and experiences observing and analyzing school lotteries from the National Evaluation of Charter School Impacts (Gleason et al., 2010) to describe the challenges associated with lottery-based research. In that study, covering 36 charter middle schools in 15 states, we found that charter schools did not affect student…
Descriptors: Charter Schools, Middle Schools, National Surveys, Evaluation Criteria